Evaluating local community methods in networks

We present a new benchmarking procedure that is unambiguous and specific to local community finding methods, allowing one to compare the accuracy of various methods. We apply this to new and existing algorithms. A simple class of synthetic benchmark networks is also developed, capable of testing properties specific to these local methods.

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